{"id":"W2144305718","doi":"","title":"Do administrative databases accurately measure waiting times for medical care? Evidence from general surgery.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Medicine; Medical record; Gold standard (test); Waiting list; Medical emergency; Database; Measure (data warehouse); MEDLINE; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004559816,0.0001717343,0.0003204047,0.00009743941,0.0009939668,0.00003925032,0.0001732411,0.0002471839,0.0003753019],"category_scores_gemma":[0.01332297,0.0001469816,0.00007976195,0.0002372065,0.00004936549,0.0003666342,0.00005777658,0.000434591,0.00002367494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988216,"about_ca_system_score_gemma":0.001475007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130907,"about_ca_topic_score_gemma":0.002570177,"domain_scores_codex":[0.9968807,0.0004971308,0.0008773605,0.0004272294,0.0005279044,0.0007897107],"domain_scores_gemma":[0.9916853,0.006523408,0.0002477734,0.0003052362,0.0007499729,0.0004883665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008305309,0.0001421152,0.3061921,0.0006360221,0.0001438073,0.00006180777,0.01189319,0.0001737449,0.00004813821,0.005287251,0.02866572,0.6459255],"study_design_scores_gemma":[0.003203276,0.0001264915,0.8740886,0.00341421,0.0002337841,0.00001278756,0.03278525,0.01502663,0.002173454,0.000295332,0.06681973,0.001820392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915673,0.003273375,0.08344895,0.01095794,0.002485716,0.00491876,0.0006140054,0.000269091,0.002464797],"genre_scores_gemma":[0.9823197,0.0001666145,0.0114035,0.001198119,0.001594667,0.002295345,0.0006210406,0.00003187483,0.0003691039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6441051,"threshold_uncertainty_score":0.9949883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4334853964301215,"score_gpt":0.4962264501091467,"score_spread":0.06274105367902522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}